Estimation of pesticide demand using farm level data: A case study of coffee production in Costa Rica

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Stefan Agne
  • Hermann Waibel

External Research Organisations

  • Delegation of the European Commission in Beijing, China
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Details

Original languageEnglish
Pages (from-to)141-153
Number of pages13
JournalQuarterly Journal of International Agriculture
Volume44
Issue number2
Publication statusPublished - 2005

Abstract

This paper examines the estimation of the elasticity of pesticide demand in Costa Rica based on farm-level panel data. Two different models of dual profit functions were used in the estimation process: (i) a single equation panel model and (ii) a system of seemingly unrelated regressions. The data for the estimation were collected in a recall survey covering three consecutive years on 325 coffee farms. The single equation panel model yielded results that are consistent with economic theory while the results obtained with the system of demand equations were less conclusive. Results of this empirical research indicate that pesticide taxation could be an effective means to reduce pesticide overuse in developing countries.

Keywords

    Coffee, Demand elasticity, Economics, Pesticides, Taxation

ASJC Scopus subject areas

Cite this

Estimation of pesticide demand using farm level data: A case study of coffee production in Costa Rica. / Agne, Stefan; Waibel, Hermann.
In: Quarterly Journal of International Agriculture, Vol. 44, No. 2, 2005, p. 141-153.

Research output: Contribution to journalArticleResearchpeer review

Agne, S & Waibel, H 2005, 'Estimation of pesticide demand using farm level data: A case study of coffee production in Costa Rica', Quarterly Journal of International Agriculture, vol. 44, no. 2, pp. 141-153.
Agne, S., & Waibel, H. (2005). Estimation of pesticide demand using farm level data: A case study of coffee production in Costa Rica. Quarterly Journal of International Agriculture, 44(2), 141-153.
Agne S, Waibel H. Estimation of pesticide demand using farm level data: A case study of coffee production in Costa Rica. Quarterly Journal of International Agriculture. 2005;44(2):141-153.
Agne, Stefan ; Waibel, Hermann. / Estimation of pesticide demand using farm level data : A case study of coffee production in Costa Rica. In: Quarterly Journal of International Agriculture. 2005 ; Vol. 44, No. 2. pp. 141-153.
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